False Negative Classification

False Negative Classification is a classification error in which an examinee who has achieved mastery or proficiency is incorrectly classified as non-proficient, thereby representing an instance where failure is erroneously attributed due to the misalignment between the observed performance and the established cut score.

66

Publications

8.4K

Citations

250

Authors

110

Institutions

Publications per year

2017–2026

24

Authors

250

  1. ZZ
    Zhenyu Zhong

    University of Georgia, United States

    3 publications · 79 citations

    3

    h-index

  2. DP
    Donella Puliti

    Piedmont Reference Center for Epidemiology and Cancer Prevention, Italy

    2 publications · 176 citations

    2

    h-index

  3. CS
    Cristina Sani

    Piedmont Reference Center for Epidemiology and Cancer Prevention, Italy

    2 publications · 176 citations

    2

    h-index

  4. ML
    Maria Luisa Schiboni

    Piedmont Reference Center for Epidemiology and Cancer Prevention, Italy

    2 publications · 176 citations

    2

    h-index

  5. KL
    Kang Li

    University of Georgia, United States

    2 publications · 62 citations

    2

    h-index

1–5 of 250

Venues

  1. Diagnostic Cytopathology

    2 publications · 63 citations

    2

    h-index

  2. 2

    h-index

  3. PubMed

    Repository · 2 publications · 41 citations

    2

    h-index

  4. American Journal of Clinical Pathology

    AJCP · 2 publications · 176 citations

    2

    h-index

  5. Lirias (KU Leuven)

    Repository · 1 publications · 20 citations

    1

    h-index

1–5